Service-oriented architecture for big data and business intelligence analytics in the cloud

© 2017 by Taylor & Francis Group, LLC. Service-oriented architecture (SOA) has emerged, supporting scalability and service reuse. At the same time, Big Data analytics has impacted on business services and business process management. However, there is a lack of a systematic engineering approach to Big Data analytics. This chapter provides a systematic approach to SOA design strategies and business process for Big Data analytics. Our approach is based on SOA reference architecture and service component model for Big Data applications, known as softBD and also includes a large-scale, real-world case study demonstrating our approach to SOA for Big Data analytics. SOA Big Data architecture is scalable, generic, and customizable for a variety of data applications. The main contribution of this chapter includes a unique, innovative, and generic softBD framework, service component model, and a generic SOA architecture for large-scale Big Data applications. This chapter also contributes to Big Data metrics, which allows measurement and evaluation when analyzing data.

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